Ruggero Bellio, Luca Di Gaspero, and Andrea Schaerf.
A statistical analysis of the features of a dynamic tabu search
algorithm for course timetabling problems.
In Michel Gendreau and Edmund K. Burke, editors, Proceedings of
the 7th International Conference on the Practice and Theory of Automated
Timetabling (PATAT-2008), pages 1--3, 2008.
Available as electronic proceedings.
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Luca Di Gaspero and Andrea Schaerf.
A multineighbourhood local search solver for the timetabling
competition ttcomp-2002.
In Proceedings of the 5th International Conference on the
Practice and Theory of Automated Timetabling (PATAT-2004), Pittsburgh (PA),
USA, 2004.
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Luca Di Gaspero, Jgor Vian, and Andrea Schaerf.
A review of neighborhood structures for the job-shop scheduling
problem.
In Proceedings of the Quadriennal International Conference on
Operations Research (OR2002), Klagenfurt, Austria, August 2002.
Extended abstract of the talk.
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Andrea Schaerf and Marco Schaerf.
Local search techniques for high school timetabling.
In Proceedings of the 1st International Conference on the
Practice and Theory of Automated Timetabling (ICPTAT-95), pages 313--323,
Edinburgh, UK, 1995. Napier University.
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Workshop papers

Sara Ceschia and Andrea Schaerf.
Patient admission scheduling with operating room constraints.
In Proceedings of the 38th annual meeting of the EURO working
group on OR Applied to Health Services (ORAHS 2012), Enschede, the
Netherlands, 2012.
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Ruggero Bellio, Luca Di Gaspero, and Andrea Schaerf.
A statistical analysis of the features of a dynamic tabu search
algorithm for course timetabling problems.
In Marco Gavanelli and Toni Mancini, editors, Proceedings of the
15th RCRA workshop on Experimental Evaluation of Algorithms for Solving
Problems with Combinatorial Explosion, 2008.
Available as electronic proceedings.
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Andrea Schaerf.
Tabu search techniques for large high-school timetabling problems.
Computer Science/Department of Software Technology CS-R9611, CWI -
The Netherlands National Research Institute for Mathematics and Computer
Science, Amsterdam, The Netherlands, 1996.
A revised version appeared in IEEE Transactions on Systems, Man
and Cybernetics: Part A.
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Pablo Moscato and Andrea Schaerf.
Local search techniques for scheduling problems, 1998.
Notes of the tutorial given at the 13th European Conference on
Artificial Intelligence (ECAI-98).
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